Paul Kinzel
Paul Kinzel is a Hydrologist with the USGS Water Resources Mission Area.
Education
M.S. in Civil Engineering, University of Colorado, Boulder, May 1998
B.S. in Environmental Science, State University of New York, Plattsburgh, May 1995
Science and Products
Filter Total Items: 45
Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan
This archive contains results of flow and sediment transport simulations of a reach of the Middle Channel of the St. Clair River delta, Michigan using the iRIC modeling system and the Flow and Sediment Transport with Morphologic Evolution of Channels (FASTMECH) solver. Two hydraulic model simulations were used to determine lateral eddy viscosity and roughness settings. A third simulation...
Hydrographic surveys and acoustic Doppler current profiler measurements collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, September 13-16, 2021 and May 2-5, 2022 Hydrographic surveys and acoustic Doppler current profiler measurements collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, September 13-16, 2021 and May 2-5, 2022
The U.S Geological Survey conducted hydrographic surveys from September 13-16, 2021 and May 2-5, 2022 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. This work was conducted as part of a reimbursable agreement with the Environmental Protection Agency to provide technical assistance in areas of concern. A multibeam echosounder was used...
Grain-size distributions of bed material samples collected from the Middle Channel of the St. Clair River Delta, Michigan, November 10, 2021 Grain-size distributions of bed material samples collected from the Middle Channel of the St. Clair River Delta, Michigan, November 10, 2021
The U.S. Geological Survey used a ponar sampler to collect bed material from the Middle Channel of the St. Clair River Delta on November 10, 2021. Three sediment samples were collected upstream of the artificial spawning reefs constructed in the Middle Channel and two on the reefs themselves.The bed sediment samples were dried and sieved at 1/2 phi increments to determine their grain...
Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024)
This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow...
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The...
Aerial images, digital elevation models, channel width maps, and river metrics along the Colorado River in Canyonlands National Park, Utah (1940 - 2018) Aerial images, digital elevation models, channel width maps, and river metrics along the Colorado River in Canyonlands National Park, Utah (1940 - 2018)
These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these...
Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019
This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana...
Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019
Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted...
Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)
This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on...
Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed...
Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical...
Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019
To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel...
Filter Total Items: 65
Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan
Nine rock-rubble fish spawning placements, or artificial reef complexes, constructed in the Detroit and St. Clair Rivers between 2004 to 2018 were surveyed periodically with multibeam sonar. These serial bathymetric surveys, conducted in 2015, 2018, 2021, and 2022, identified active sand bedform fields impinging two reef complexes: Fighting Island in the Detroit River and Middle Channel...
Authors
Paul J. Kinzel, Gregory W. Kennedy, Taylor Dudunake
Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale
Remote sensing of flow conditions in stream channels could facilitate hydrologic data collection, particularly in large, inaccessible rivers. Previous research has demonstrated the potential to estimate flow velocities in sediment-laden rivers via particle image velocimetry (PIV). In this study, we introduce a new framework for also obtaining bathymetric information: Depths Inferred from
Authors
Carl J. Legleiter, Paul J. Kinzel
Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river
Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we...
Authors
Carl J. Legleiter, Paul J. Kinzel
Improving remotely sensed river bathymetry by image-averaging Improving remotely sensed river bathymetry by image-averaging
Basic data on river bathymetry is critical for numerous applications in river research and management and is increasingly obtained via remote sensing, but the noisy, pixelated appearance of image‐derived depth maps can compromise subsequent analyses. We hypothesized that this noise originates from reflectance from an irregular water surface and introduced a framework for mitigating these...
Authors
Carl J. Legleiter, Paul J. Kinzel
Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions
This paper summarizes field trials to evaluate the performance of a prototype compact topo‐bathymetric lidar sensor for surveying rivers. The sensor uses a novel polarization technique to distinguish between laser returns from the water surface and streambed and its size and weight permit deployment from a small unmanned aerial system (sUAS) or a boat. Field testing was designed to...
Authors
Paul J. Kinzel, Carl J. Legleiter, Paul E. Grams
Inferring surface flow velocities in sediment-laden Alaskan rivers from optical image sequences acquired from a helicopter Inferring surface flow velocities in sediment-laden Alaskan rivers from optical image sequences acquired from a helicopter
The remote, inaccessible location of many rivers in Alaska creates a compelling need for remote sensing approaches to streamflow monitoring. Motivated by this objective, we evaluated the potential to infer flow velocities from optical image sequences acquired from a helicopter deployed above two large, sediment-laden rivers. Rather than artificial seeding, we used an ensemble correlation...
Authors
Carl J. Legleiter, Paul J. Kinzel
Remote sensing of tracer dye concentrations to support dispersion studies in river channels Remote sensing of tracer dye concentrations to support dispersion studies in river channels
In river channels the flow field influences the dispersion of biota, contaminants, and other suspended or dissolved materials. Insight on patterns and rates of dispersion can be gained by injecting a pulse of visible dye and observing spatial and temporal variations in dye concentration as the pulse moves downstream. We evaluated the potential of passive optical remote sensing to enhance...
Authors
Carl J. Legleiter, Richard R. McDonald, Jonathan M. Nelson, Paul J. Kinzel, Ryan L. Perroy, Donghae Baek, Il Won Seo
sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar
This paper describes a non-contact methodology for computing river discharge based on data collected from small Unmanned Aerial Systems (sUAS). The approach is complete in that both surface velocity and channel geometry are measured directly under field conditions. The technique does not require introducing artificial tracer particles for computing surface velocity, nor does it rely upon...
Authors
Paul J. Kinzel, Carl J. Legleiter
Near-field remote sensing of Alaskan Rivers Near-field remote sensing of Alaskan Rivers
The U.S. Geological Survey (USGS) Geomorphology and Sediment Transport Laboratory (GSTL), in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL), acquired remotely sensed data from several Alaskan rivers in 2017 and 2018 with the goal of developing a methodology for measuring streamflow from a helicopter. CRREL operates a custom...
Authors
Paul J. Kinzel, Carl J. Legleiter, Jonathan M. Nelson, Jeff Conaway, Adam LeWinter, Peter Gadomski, Dominic Filiano
Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging
The U.S. Geological Survey monitors water level (water surface elevation relative to an arbitrary datum) and measures streamflow in Alaska rivers to compute and compile river flow records for use by water resource planners, engineers, and land managers to design infrastructure, manage floodplains, and protect life, property, and aquatic resources. Alaska has over 800,000 miles of rivers...
Authors
Jeff Conaway, John R. Eggleston, Carl J. Legleiter, John Jones, Paul J. Kinzel, John W. Fulton
New methods for predicting and measuring dispersion in rivers New methods for predicting and measuring dispersion in rivers
To develop a better predictive tool for dispersion in rivers over a range of temporal and spatial scales, our group has developed a simple Lagrangian model that is applicable for a wide range of coordinate systems and flow modeling methodologies. The approach allows dispersion computations for a large suite of discretizations, model dimensions (1-, 2-, or 3-dimensional), spatial and...
Authors
Jonathan M. Nelson, Richard R. McDonald, Carl J. Legleiter, Paul J. Kinzel, Travis Terrell Ramos, Yutaka Higashi, Il Won Seo, Donghae Baek, Du Han Lee, Yonguk Ryu
Sampling strategies to improve passive optical remote sensing of river bathymetry Sampling strategies to improve passive optical remote sensing of river bathymetry
Passive optical remote sensing of river bathymetry involves establishing a relation between depth and reflectance that can be applied throughout an image to produce a depth map. Building upon the Optimal Band Ratio Analysis (OBRA) framework, we introduce sampling strategies for constructing calibration data sets that lead to strong relationships between an image-derived quantity and...
Authors
Carl J. Legleiter, Brandon Overstreet, Paul J. Kinzel
Science and Products
Filter Total Items: 45
Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan
This archive contains results of flow and sediment transport simulations of a reach of the Middle Channel of the St. Clair River delta, Michigan using the iRIC modeling system and the Flow and Sediment Transport with Morphologic Evolution of Channels (FASTMECH) solver. Two hydraulic model simulations were used to determine lateral eddy viscosity and roughness settings. A third simulation...
Hydrographic surveys and acoustic Doppler current profiler measurements collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, September 13-16, 2021 and May 2-5, 2022 Hydrographic surveys and acoustic Doppler current profiler measurements collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, September 13-16, 2021 and May 2-5, 2022
The U.S Geological Survey conducted hydrographic surveys from September 13-16, 2021 and May 2-5, 2022 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. This work was conducted as part of a reimbursable agreement with the Environmental Protection Agency to provide technical assistance in areas of concern. A multibeam echosounder was used...
Grain-size distributions of bed material samples collected from the Middle Channel of the St. Clair River Delta, Michigan, November 10, 2021 Grain-size distributions of bed material samples collected from the Middle Channel of the St. Clair River Delta, Michigan, November 10, 2021
The U.S. Geological Survey used a ponar sampler to collect bed material from the Middle Channel of the St. Clair River Delta on November 10, 2021. Three sediment samples were collected upstream of the artificial spawning reefs constructed in the Middle Channel and two on the reefs themselves.The bed sediment samples were dried and sieved at 1/2 phi increments to determine their grain...
Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024)
This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow...
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The...
Aerial images, digital elevation models, channel width maps, and river metrics along the Colorado River in Canyonlands National Park, Utah (1940 - 2018) Aerial images, digital elevation models, channel width maps, and river metrics along the Colorado River in Canyonlands National Park, Utah (1940 - 2018)
These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these...
Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019 Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019
This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana...
Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019 Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, fall 2019
Evaluating technologies and approaches to identify the movement of fine sediment over coarser substrate has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the migration of sand bedforms over coarser bed material. Experiments were conducted...
Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV) Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)
This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on...
Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed...
Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical...
Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019 Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019
To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel...
Filter Total Items: 65
Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan
Nine rock-rubble fish spawning placements, or artificial reef complexes, constructed in the Detroit and St. Clair Rivers between 2004 to 2018 were surveyed periodically with multibeam sonar. These serial bathymetric surveys, conducted in 2015, 2018, 2021, and 2022, identified active sand bedform fields impinging two reef complexes: Fighting Island in the Detroit River and Middle Channel...
Authors
Paul J. Kinzel, Gregory W. Kennedy, Taylor Dudunake
Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale
Remote sensing of flow conditions in stream channels could facilitate hydrologic data collection, particularly in large, inaccessible rivers. Previous research has demonstrated the potential to estimate flow velocities in sediment-laden rivers via particle image velocimetry (PIV). In this study, we introduce a new framework for also obtaining bathymetric information: Depths Inferred from
Authors
Carl J. Legleiter, Paul J. Kinzel
Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river
Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we...
Authors
Carl J. Legleiter, Paul J. Kinzel
Improving remotely sensed river bathymetry by image-averaging Improving remotely sensed river bathymetry by image-averaging
Basic data on river bathymetry is critical for numerous applications in river research and management and is increasingly obtained via remote sensing, but the noisy, pixelated appearance of image‐derived depth maps can compromise subsequent analyses. We hypothesized that this noise originates from reflectance from an irregular water surface and introduced a framework for mitigating these...
Authors
Carl J. Legleiter, Paul J. Kinzel
Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions
This paper summarizes field trials to evaluate the performance of a prototype compact topo‐bathymetric lidar sensor for surveying rivers. The sensor uses a novel polarization technique to distinguish between laser returns from the water surface and streambed and its size and weight permit deployment from a small unmanned aerial system (sUAS) or a boat. Field testing was designed to...
Authors
Paul J. Kinzel, Carl J. Legleiter, Paul E. Grams
Inferring surface flow velocities in sediment-laden Alaskan rivers from optical image sequences acquired from a helicopter Inferring surface flow velocities in sediment-laden Alaskan rivers from optical image sequences acquired from a helicopter
The remote, inaccessible location of many rivers in Alaska creates a compelling need for remote sensing approaches to streamflow monitoring. Motivated by this objective, we evaluated the potential to infer flow velocities from optical image sequences acquired from a helicopter deployed above two large, sediment-laden rivers. Rather than artificial seeding, we used an ensemble correlation...
Authors
Carl J. Legleiter, Paul J. Kinzel
Remote sensing of tracer dye concentrations to support dispersion studies in river channels Remote sensing of tracer dye concentrations to support dispersion studies in river channels
In river channels the flow field influences the dispersion of biota, contaminants, and other suspended or dissolved materials. Insight on patterns and rates of dispersion can be gained by injecting a pulse of visible dye and observing spatial and temporal variations in dye concentration as the pulse moves downstream. We evaluated the potential of passive optical remote sensing to enhance...
Authors
Carl J. Legleiter, Richard R. McDonald, Jonathan M. Nelson, Paul J. Kinzel, Ryan L. Perroy, Donghae Baek, Il Won Seo
sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar
This paper describes a non-contact methodology for computing river discharge based on data collected from small Unmanned Aerial Systems (sUAS). The approach is complete in that both surface velocity and channel geometry are measured directly under field conditions. The technique does not require introducing artificial tracer particles for computing surface velocity, nor does it rely upon...
Authors
Paul J. Kinzel, Carl J. Legleiter
Near-field remote sensing of Alaskan Rivers Near-field remote sensing of Alaskan Rivers
The U.S. Geological Survey (USGS) Geomorphology and Sediment Transport Laboratory (GSTL), in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL), acquired remotely sensed data from several Alaskan rivers in 2017 and 2018 with the goal of developing a methodology for measuring streamflow from a helicopter. CRREL operates a custom...
Authors
Paul J. Kinzel, Carl J. Legleiter, Jonathan M. Nelson, Jeff Conaway, Adam LeWinter, Peter Gadomski, Dominic Filiano
Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging
The U.S. Geological Survey monitors water level (water surface elevation relative to an arbitrary datum) and measures streamflow in Alaska rivers to compute and compile river flow records for use by water resource planners, engineers, and land managers to design infrastructure, manage floodplains, and protect life, property, and aquatic resources. Alaska has over 800,000 miles of rivers...
Authors
Jeff Conaway, John R. Eggleston, Carl J. Legleiter, John Jones, Paul J. Kinzel, John W. Fulton
New methods for predicting and measuring dispersion in rivers New methods for predicting and measuring dispersion in rivers
To develop a better predictive tool for dispersion in rivers over a range of temporal and spatial scales, our group has developed a simple Lagrangian model that is applicable for a wide range of coordinate systems and flow modeling methodologies. The approach allows dispersion computations for a large suite of discretizations, model dimensions (1-, 2-, or 3-dimensional), spatial and...
Authors
Jonathan M. Nelson, Richard R. McDonald, Carl J. Legleiter, Paul J. Kinzel, Travis Terrell Ramos, Yutaka Higashi, Il Won Seo, Donghae Baek, Du Han Lee, Yonguk Ryu
Sampling strategies to improve passive optical remote sensing of river bathymetry Sampling strategies to improve passive optical remote sensing of river bathymetry
Passive optical remote sensing of river bathymetry involves establishing a relation between depth and reflectance that can be applied throughout an image to produce a depth map. Building upon the Optimal Band Ratio Analysis (OBRA) framework, we introduce sampling strategies for constructing calibration data sets that lead to strong relationships between an image-derived quantity and...
Authors
Carl J. Legleiter, Brandon Overstreet, Paul J. Kinzel